Staff Site Reliability Engineer - Observability

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

106% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Staff Site Reliability Engineer - Observability Bellevue, Washington; New York, New York; San Francisco, California; Washington, DC Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Overview: We are seeking a highly technical Staff Observability Site Reliability Engineer with a specialty in Splunk to own and evolve our Splunk ecosystem. In this role, you will move beyond simple monitoring to delivering a world class, comprehensive, scalable Observability Platform that enables our SRE teams and business partners. You will treat infrastructure as code -utilizing Terraform and strong coding proficiency in Go, Python, or Ruby -to automate the deployment of agents and collectors across complex distributed systems. Key Responsibilities - Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform. - Splunk Engineering: Optimize the collection, processing, and storage of log data to ensure high reliability and low latency of our Splunk services - Incident Response: Participate in on-call rotations and lead post-incident reviews to drive systemic improvements and "observability-driven development." - Automation: Eliminate "toil" by automating the deployment and scaling of

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